Saaransh

Ek laptop mera hai!!😂🔥

Check out my new ML project: 🔗saaransh-capstone-ol.streamlit.app I've officially completed ML League @OpenLearn_NITJ Cohort 1.0 with this Capstone project. Huge thanks to @VatsalKhanna55, @adexxhhh, @Ratinder_999, @Kunal2417_ and all the amazing pathfinders 🙌 #ML #OpenLearn #Learning

How was it for you all? 👀 Let’s keep the energy going!

📚Explored another dimensionality-reduction technique in ML League on @OpenLearn_nitj: t-SNE i.e. t-Distributed Stochastic Neighbor Embedding (believe me the maths involved is even more complex than the name🫣) Anyways it was fun comparing PCA and t-SNE #MachineLearning #Progress

📚Completed "Decoding PCA" in ML League on @OpenLearn_nitj! - Reduced a 30+ features dataset to just 2 principal components using PCA - Also predicted the 'Diagnosis' using Logistic Regression and Random Forest #MachineLearning #DataScience #Progress

📚Completed "Hierarchical Clustering" in ML League on @OpenLearn_nitj! Understood its types - Agglomerative and Divisive and its advantages over K Means clustering. Also the visualisation part with Dendograms was fun! #MachineLearning #DataScience #Progress #OpenLearn

📚 Completed "Understanding K-means Clustering" in ML League on @OpenLearn_nitj! It took some time to fully grasp, but definitely worth the effort. On to the next task🫡 #MachineLearning #Datascience #Progress #OpenLearn

📚Completed 2nd Milestone Task in ML League on @OpenLearn_nitj! Compared the performance of different models and techinques used in Regression and Classification problems on two datasets - Student Performance and Avocado Ripeness on Kaggle. #MachineLearning #DataScience #Progress

Excited to dive into the world of Finance on @OpenLearn_nitj! Cohort 1.0💸 I’m starting from zero knowledge, but looking forward to learning, experimenting and growing every day. Let’s see where this journey takes me! 📈🔥 #Finance #Learning #Progress #OpenLearn

📚 Completed "Random Forests" in ML on @OpenLearn_nitj! -Applied it on Kaggle's Red Wine🍷Quality dataset -Explored & Visualised feature importances and DecisionTrees🌳 -Evaluated using Accuracy, F1 Score, Classification Report & Confusion Matrix #MachineLearning #DataScience

📚 Completed "Decision Trees" in ML on @OpenLearn_nitj! -Applied it on the Iris and Boston Housing datasets on Kaggle. -Predicted the MEDV (Median vaue of housing prices) using DecisionTreeRegressor. -Visualised the tree. #MachineLearning #DataScience #Progress #OpenLearn

📚Completed "k-NN Classification" in ML on @OpenLearn_nitj! and applied it on the Iris and Social Network Ads datasets on Kaggle -Compared the accuracy on different values of 'k' -Compared its accuracy with Logistic Regression #MachineLearning #DataScience #Progress

📚 Completed "Beginner’s Guide to Logistic Regression" in ML on @OpenLearn_nitj! The theory part was challenging yet interesting to understand! On to the next task🫡 #MachineLearning #DataScience #OpenLearn #Progress

📚Completed "Regularization" in ML on @OpenLearn_nitj! Learned Overfitting, Underfitting, Generalisation, The Bias-Variance Trade-off, Lasso, Ridge and ElasticNet Regression. Loving how each day deepens my interest in ML! 🔥 #DataScience #MachineLearning #OpenLearn #Progress

📚 Completed Exploratory Data Analysis (EDA) on Uber Fares Dataset on Kaggle — and what a ride it was🚖! Here are some cool insights from my analysis👇 @OpenLearn_nitj #DataScience #MachineLearning #EDA #Progress

📚 Completed "Understanding Linear Regression" in ML on @OpenLearn_nitj! It was fun to explore the math behind machine learning! #ML #Learning #Progress #OpenLearn

@OpenLearn_NITJ 📊 Explored student performance using my learnings from @OpenLearn_NITJ ! ~Analyzed how gender, test prep, and parental education influence student scores in exams. ~Visualized using boxplots, barplots and histograms + KDEs and Heatmap ~Learned why Data Visualisation matters💡

✅Week0✅ Finally wrapped up Week0 @OpenLearn_NITJ. It took time, but it was totally worth it! 🔥 Learned and practiced python libraries like Numpy, Pandas, Matplotlib, Scikit-Learn in great detail and mastered EDA. On to Week1 🚀 #ML #Learning

@OpenLearn_NITJ 🏏Analysed 12 IPL seasons using Kaggle's dataset (2008–2019) @OpenLearn_NITJ

Completed Python setup and Basics of Kaggle in ML on @OpenLearn_NITJ #ML #Learning